Many companies are racing to integrate machine learning, but it feels like the tech is moving faster than the rules. I’ve noticed that ai transformation is a problem of governance because without clear policies on data privacy and ethical oversight, projects often stall or face legal hurdles. Are you seeing organizations successfully balance rapid innovation with strict compliance frameworks, or is the lack of internal regulation becoming a major bottleneck for your scaling efforts?
Why is AI transformation is a problem of governance for most modern enterprises?
- Thread starter Andrew
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